Items where Author is "Nagy, Dénes Ákos"

Article

Nagy, Dénes Ákos and Nagy, Tamás Dániel and Elek, Renáta and Rudas, Imre and Haidegger, Tamás (2018) Ontology Based Surgical Subtask Automation, Automating Blunt Dissection. Journal of Medical Robotics Research, 3 (3). pp. 1-9. ISSN 2424-905X

Gibaud, Bernard and Forestier, Germain and Feldmann, Carolin and Ferrigno, Giancarlo and Gonçalves, Paulo and Haidegger, Tamás and Julliard, Chantal and Katić, Darko and Kenngott, Hannes and Maier-Hein, Lena and März, Keno and De Momi, Elena and Nagy, Dénes Ákos and Nakawala, Hirenkumar and Neumann, Juliane and Neumuth, Thomas and Balderrama, Javier Rojas and Speidel, Stefanie and Wagner, Martin and Jannin, Pierre (2018) Toward a standard ontology of surgical process models. International Journal of Computer Assisted Radiology and Surgery, 13 (9). pp. 1397-1408. ISSN 1861-6410, ESSN: 1861-6429

Takács, Árpád and Nagy, Dénes Ákos and Rudas, Imre and Haidegger, Tamás (2016) Origins of Surgical Robotics: From Space to the Operating Room. Acta Polytechnica Hungarica, 13 (1). pp. 13-30. ISSN 1785-8860

Nagy, Dénes Ákos and Haidegger, Tamás and Yaniv, Ziv (2014) A Framework for Semi-automatic Fiducial Localization in Volumetric Images. LNCS 8678, 8678. pp. 138-148. ISSN 0302-9743

Book Section

Jaksa, László and Nigicser, Illés and Szabó, Balázs and Nagy, Dénes Ákos and Galambos, Péter and Haidegger, Tamás (2018) CogInfoCom-Driven Surgical Skill Training and Assessment : Developing a Novel Anatomical Phantom and Performance Assessment Method for Laparoscopic Prostatectomy Training. In: Cognitive Infocommunications, Theory and Applications. Springer, pp. 1-26.

Conference or Workshop Item

Nagy, Dénes Ákos and Takács, Kristóf and Rudas, Imre and Haidegger, Tamás (2020) Employing Process Models for Surgical Training. In: 2020 IEEE 18th World Symposium on Applied Machine Intelligence and Informatics (SAMI).

Nagy, Dénes Ákos and Rudas, Imre and Haidegger, Tamás (2018) OntoFlow, a software tool for surgical workflow recording. In: SAMI 2018: IEEE 16th World Symposium on Applied Machine Intelligence and Informatics, February 7-10, 2018, Košice, Herl’any, Slovakia.

Nagy, Dénes Ákos and Nagy, Tamás Dániel and Elek, Renáta and Rudas, Imre and Haidegger, Tamás (2017) Ontology Based Surgical Subtask Automation. In: International Conference on Robotics and Automation 2017, 2017.05.29.-2017.06.03., Singapore.

Elek, Renáta and Nagy, Tamás Dániel and Nagy, Dénes Ákos and Takács, Bence and Galambos, Péter and Rudas, Imre and Haidegger, Tamás (2017) Robotic Platforms for Ultrasound Diagnostics and Treatment. In: 2017 IEEE International Conference on Systems, Man and Cybernetics, October 5-8, 2017, Banff, Canada.

Nagy, Dénes Ákos and Rudas, Imre and Haidegger, Tamás (2017) Surgical data science, an emerging field of medicine. In: 2017 IEEE 30th Neumann Colloquium (NC).

Barcza, Szilvia and Nagy, Dénes Ákos and Garamvölgyi, Tivadar and Haidegger, Tamás (2016) Design of a low-cost simulator for the evaluation of surgical skills during laparoscopic radical prostatectomy. In: Triangle Symposium of the Poland–Hungary–Japan Surgical Society, 19 June - 21 June 2016, Lublin.

Elek, Renáta and Nagy, Tamás Dániel and Nagy, Dénes Ákos and Kronreif, Gernot and Rudas, Imre and Haidegger, Tamás (2016) Recent trends in automating robotic surgery. In: Intelligent Engineering Systems (INES), 2016 IEEE 20th Jubilee International Conference on, 2016. június 30 - július 2., Budapest, Hungary.

Pausits, Péter and Szögi, Gábor and Nagy, Dénes Ákos and Nallbani, Marsel and Rudas, Imre and Haidegger, Tamás (2015) Identification of Hazards in Invasive/Surgical Robotics. In: International Conference on Intelligent Robots and Systems - IROS 2015 - Workshop: Towards Standardized Experiments in HRI, 2015. 09. 28 - 10.02, Hamburg.

Takács, Árpád and Jordán, Sándor and Nagy, Dénes Ákos and Pausits, Péter and Haidegger, Tamás and Tar, József and Rudas, Imre (2015) Joint Platforms and Community Efforts in Surgical Robotics Research. In: MACRo 2015- 5 th International Conference on Recent Achievements in Mechatronics, Automation, Computer Science and Robotics.